Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems

Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems

Providing useful information to the users by recommending highly demanded products and services is a fundamental part of the business of many top tier companies. Recommender Systems make use of many sources of information to provide users with accurate predictions and novel recommendations of items....

Полное описание

Библиографические подробности
Главные авторы: Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
Формат: Статья
Язык:English
Опубликовано: MDPI AG 2020-07-01
Серии:Applied Sciences
Предметы:
deep learning
recommender systems
collaborative filtering
matrix factorization
Online-ссылка:https://www.mdpi.com/2076-3417/10/14/4926

Internet

https://www.mdpi.com/2076-3417/10/14/4926

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